The computer

In the era of technological development, researchers and educators, who live in advanced countries, have researched computational thinking, so that new generations can gain it as an essential skill. Realizing the importance of computational thinking, Vietnamese Educational Policy Makers also set it as one of the goals of our new education program.

8p vipanly 28-10-2024 1 1   Download

This paper is structured as follows. The following section presents related work. Section 3 summarizes the characteristics of the two datasets utilized in the model and the system’s overall architecture for image-based disease diagnosis. Section 4 provides our experimental results that compare the performance metrics with other studies.

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This paper aims to address this limitation by introducing techniques for estimating trustworthiness from a community context. These techniques rely on similarity measures or operators within the framework of path algebra.

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In this paper, we build a quadcopter for target tracking by integrating a embedded computer Raspberry Pi (RPI) with a Pixhawk flight controller. This article also proposes a lightweight Tracking algorithm that can be deployed on Raspberry Pi, this algorithm harnesses advanced image processing and computing capabilities to significantly enhance target tracking performance, thereby reducing the need for human intervention control in unmanned flights.

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Efficient ship detection is essential for inland waterway management. Recent advances in artificial intelligence have prompted research in this field. This study introduces a real-time ship detection model utilizing computer vision and the YOLO object detection framework.

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This paper presents the development of an Artificial Intelligence (AI) and Machine Learning (ML) model designed to detect cracks on concrete surfaces. The objective is to enhance the automation, precision, and performance of crack detection using the computer vision algorithm.

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This paper introduces a new clustering technique based on granular computing. In tradional clustering algorithms, the integration of the high shaping capability of the existing datasets becomes fussy which in turn results in inferior functioning.

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This article aims to explore the use of CMC as an alternative platform for teaching English for vocational purposes. For this purpose, the current paper is based on library research combining synthesis and analysis of more than thirty empirical and non-empirical articles which were published in journals, conference proceedings, books, and conference presentations.

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To assess the effectiveness and utility of a low-contrastvolume, coronary computed tomography angiography (CCTA) protocol that leverages a lower tube peak voltage (80 kVp) compared to the conventionally employed 120 kVp in patients referred for diagnostic coronary CT angiography.

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This study aims to observe the value of the dual-energy computed tomography (DECT) technique in the assessment of primary lung cancer. Compare the difference in density of lung tumors on the true non-contrast (TNC) and virtual non-contrast (VNC) images. Investigate the iodine concentration value of lung tumors in differentiating malignant and benign lesions as well as adenocarcinoma and squamous carcinoma in lung cancer.

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The role of multidetector computed tomography (MDCT) in diagnosing and staging 31 patients with laryngeal carcinoma. Methods: Patients with laryngeal carcinoma were diagnosed at Hue central hospital from February 2019 to July 2020. Patients were clinically diagnosed patients of laryngeal masses, were first evaluated under indirect laryngoscopy, and then sent for Computed Tomography (CT).

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To evaluate the imaging characteristics of coronary artery fistulas (CAFs) by multidetector computed tomography (MDCT). Materials and Methods: a prospective descriptivestudy from January 2019 to September 2020 enrolled 31 patients (11 males, mean age 56 years) detected CAFs on MDCT at Radiology Centre of Bach Mai hospital. The origin, size, and drainage site of CAFs were analyzed.

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The differential diagnosis between primary mesenteric lymphoma and others peritoneum diseases such as peritoneal carcinomatosis, malignant primary peritoneal mesotheliomas, tuberculous peritonitis, sarcomatosis, diffuse peritoneal leiomyomatosis or benign splenosis, constitutes a major problem in imaging techniques.

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Left pulmonary artery sling (LPAS) is a rare congenital anomaly in which the left pulmonary artery originates from the posterior aspect of the right pulmonary artery and courses between the trachea and esophagus to reach the left lung. This anomaly causes distal tracheal and/or right main-stem bronchus compression.

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This case study presents a patient with SCA from the right aortic sinus with severe stenosis proximal and distal part of right coronary artery was made using cardiac angiography and cardiac multidetector computed tomography (MDCT) with acute myocardial infarction.

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This study focused on evaluating the diagnostic performance of the lung point (LP)- a lung ultrasound (LUS) sign in detecting and semi-quantifying pneumothorax (PTX), using computed tomography (CT) as the reference standard. The study included 150 patients who underwent CT-guided transthoracic biopsy (TTB) for lung lesions.

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Solid pseudopapillary tumors (SPTs) of the pancreas is a low-grade malignant tumor, accounting for only 1–2.5% of all pancreatic tumors. In particular, small (≤ 3 cm) SPTs do not often have typical computed tomography (CT) features, making them easily misdiagnosed with other solid tumors and eventually affecting the choice of treatment method.

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Calculating intra-aneurysm flow uses optical flow with computational fluid dynamics simulation on the numerical analysis. This is a new method to better understand the intravascular flow and aneurysm flow as well as factors related to the inflow vortex and the inflow jet which increase the rupture risk in patients with an aneurysm.

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To describe the morphological characteristics of left atrial appendage (LAA) on multislice computed tomography in patients with atrial fibrillation. Materials and methods: A prospective descriptive study on 44 patients diagnosed with atrial fibrillation (AF) and underwent multislice computed tomography at Bach Mai Hospital from August 2022 to July 2023.

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In this study, we propose a novel approach using the oscillation characteristics of the RMS current as the input to machine learning models, combined with the confident learning technique. Using the oscillation characteristics obtained by taking a discrete Fourier transform (DFT) of the RMS current as model input, we aim to reduce the computational requirements of the machine learning models.

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